Introduction to (medical) (social-scientific) Statistics part I. This course is taught in English by various tutors from the Department of Methodology & Statistics and is very practical in nature.
Participants enrolled in Statistics 1 are expected to be familiar with SPSS. Therefore the first two classes are mandatory only for those participants not familiar with the SPSS programme. One must register separately for these classes. We urge participants to contact the local ICT support service to install SPSS.
PhD candidates who have not taken statistics or who wish to refresh their knowledge. PhD candidates who are familiar with the material taught in Statistics 1 can begin with Statistics 2. Tutors may be consulted on this matter if necessary. Depending on the participant's prior knowledge, (s)he may follow part of the course instead. To get credits for the course, the participant must attend at least 8 classes.
Department of Methodology & Statistics (DEB1)
Phone: +31 43 388 24 34
Schedule: 11 classes of two hours each. Participants must devote one day to self-study between sessions. Each class will end with a discussion of an analysis assignment which will be reviewed the following week. The assignment review will be led by one of the participants.
Participants can choose from several basic textbooks, depending on their dissertation topic.
Schouten, H. (1999)
Klinische statistiek; een praktische inleiding in methodologie en analyse. Houten: Bohn, Stafleu, Van Lochem
Imbos, Tj. Janssen, M.P.E. en Berger, M.P.F. (2001)
Methodologie en statistiek deel 1, Maastricht: Universitaire pers.
Berger, M.P.F., Imbos, Tj. Janssen, M.P.E. (2002)
Methodologie en statistiek deel 2, Maastricht: Universitaire pers.
Altman, D.G. (1992)
Practical statistics for medical research. London: Chapman & Hall.
Rosner, B. (2000)
Fundamentals of biostatistics. Pacific Groves: Duxbury Thomson Learning.
Norman, G.R. and Streiner, D.L. (1998)
Biostatistics - The Bare Essentials. Hamilton, London: B.C. Decker Inc.
Min/Max PhD candidates:
minimum 7, maximum 60 (maximum 30 SPSS)
3 (as long as the participant follows 8 of the 11 classes)
Phone: +31 43 388 56 13
Available: Mondays - Tuesdays and Thursdays 08.30 - 12.00.
PhD candidates (Promovendi) of FHML, MaCSBIO, M41 and Merln: not applicable.